Plot Multiple Boxplot in One Graph in Pandas or Matplotlib?
I Have a Two Boxplotes A1=A[['Kch4_Sync','Week_Days']] A1. Boxplot(By = 'Week_Days', Meanline=True, Showmeans=True, Showcaps=True, Showbox=True...
I have a two boxplotes
a1=a[['kCH4_sync','week_days']]
a1.boxplot(by = 'week_days', meanline=True, showmeans=True, showcaps=True, showbox=True,
showfliers=False)
a2=a[['CH4_sync','week_days']]
a2.boxplot(by = 'week_days', meanline=True, showmeans=True, showcaps=True, showbox=True,
showfliers=False)
But I want to place them in one graph to compare them. Have you any advice to solve this problem? Thanks!
3 Answers
To plot multiple boxplots on one matplotlib graph you can pass a list of data arrays to boxplot, as in:
import numpy as np
import matplotlib.pyplot as plt
x1 = 10*np.random.random(100)
x2 = 10*np.random.exponential(0.5, 100)
x3 = 10*np.random.normal(0, 0.4, 100)
plt.boxplot ([x1, x2, x3])
The only thing I am not sure of is if you want each boxplot to have a different color etc. Generally it won't plot in different colour
Use return_type='axes' to get a1.boxplot to return a matplotlib Axes object.
Then pass that axes to the second call to boxplot using ax=ax. This will cause both boxplots to be drawn on the same axes.
a1=a[['kCH4_sync','week_days']]
ax = a1.boxplot(by='week_days', meanline=True, showmeans=True, showcaps=True,
showbox=True, showfliers=False, return_type='axes')
a2 = a[['CH4_sync','week_days']]
a2.boxplot(by='week_days', meanline=True, showmeans=True, showcaps=True,
showbox=True, showfliers=False, ax=ax)
It easy using pandas:
import numpy as np
import matplotlib.pyplot as plt
import pandas as pd
col1 = np.random.random(10)
col2 = np.random.random(10)
DF = pd.DataFrame({'col1': col1, 'col2': col2})
ax = DF[['col1', 'col2']].plot(kind='box', title='boxplot', showmeans=True)
plt.show()
Note that when using Pandas for this, the last command (ax = DF[[...) opens a new figure. I'm still looking for a way to combine this with existing subplots.
David Miller brings 15 years of experience in global economics, personal finance strategy, and market dynamics. He specializes in turning complex economic trends into actionable insights for everyday readers.
